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--- |
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language: |
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- en |
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bigbio_language: |
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- English |
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license: other |
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multilinguality: monolingual |
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bigbio_license_shortname: DUA |
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pretty_name: n2c2 2006 Smoking Status |
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homepage: https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/ |
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bigbio_pubmed: False |
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bigbio_public: False |
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bigbio_tasks: |
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- TEXT_CLASSIFICATION |
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--- |
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# Dataset Card for n2c2 2006 Smoking Status |
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## Dataset Description |
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|
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- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/ |
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- **Pubmed:** False |
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- **Public:** False |
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- **Tasks:** TXTCLASS |
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|
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The data for the n2c2 2006 smoking challenge consisted of discharge summaries |
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from Partners HealthCare, which were then de-identified, tokenized, broken into |
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sentences, converted into XML format, and separated into training and test sets. |
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|
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Two pulmonologists annotated each record with the smoking status of patients based |
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strictly on the explicitly stated smoking-related facts in the records. These |
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annotations constitute the textual judgments of the annotators. The annotators |
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were asked to classify patient records into five possible smoking status categories: |
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a past smoker, a current smoker, a smoker, a non-smoker and an unknown. A total of |
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502 de-identified medical discharge records were used for the smoking challenge. |
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## Citation Information |
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|
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``` |
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@article{uzuner2008identifying, |
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author = { |
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Uzuner, Ozlem and |
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Goldstein, Ira and |
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Luo, Yuan and |
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Kohane, Isaac |
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}, |
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title = {Identifying Patient Smoking Status from Medical Discharge Records}, |
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journal = {Journal of the American Medical Informatics Association}, |
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volume = {15}, |
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number = {1}, |
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pages = {14-24}, |
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year = {2008}, |
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month = {01}, |
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url = {https://doi.org/10.1197/jamia.M2408}, |
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doi = {10.1136/amiajnl-2011-000784}, |
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eprint = {https://academic.oup.com/jamia/article-pdf/15/1/14/2339646/15-1-14.pdf} |
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} |
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|
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``` |
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|
